|
|
|
|
|
|
| Research on Control Method of Graphene Layers Grown in Air Holes of Photonic Crystal Fiber Based on Raman Spectroscopy |
| WANG Xiao-yu1, CUI Yong-zhao1, BI Wei-hong1,2*, FU Guang-wei1, KE Si-cheng1, WANG Wen-xin1 |
1. College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
2. Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, Qinhuangdao 066004, China |
|
|
|
|
Abstract Graphene and photonic crystal fiber have good optical properties, but it is difficult to transfer/coat graphene on the inner holes with small diameter by the wet-transfer method which can be only transferring graphene on the surface or end of the PCF. Therefore, the chemical vapor deposition was used to decompose the carbon source into carbon atoms, allowing it to form nucleation points in the air holes of the optical fiber, and then by controlling the growth conditions, the graphene with different layers can be directly grown on the inner holes of the photonic crystal fiber. By scanning electron microscopy, it can be clearly noticed that the presence of graphene film which was tightly in combination with air holes of the photonic crystal fiber. In addition, all three characteristic peaks of graphene were shown by Raman spectroscopy. By changing the growth conditions such as temperature, growth time, methane gas concentration, it was found that the ratio of D peak to G peak of the graphenein the air holes of the photonic crystal fiber significantly reduced to around 0.5, which can effectively reduce the rate of the defects. The results of the Raman spectra showed that the growth time was the most effective for reducing defects in graphene. When the growth time was 5 h, bilayer graphene was achieved grown. By extending the growth time, the defects in graphene can be continuously reduced. The nucleation points of carbon atoms were influenced by temperature, which speeded up the formation of graphene film, but greater defectswere caused with excessive temperature in graphene, resulting in decreasing of the ratio of D peak to G peak after 1 050 ℃. With increasing of the methane concentration, on the other hand, affected by the diameter of the air hole, the number of graphene layers were increased in fluctuation. This research provides a basis for the subsequent design of devices based on graphene fiber and the applications in optics.
|
|
Received: 2020-07-20
Accepted: 2020-10-12
|
|
|
|
Corresponding Authors:
BI Wei-hong
E-mail: whbi@ysu.edu.cn
|
|
[1] LI Shao-juan，GAN Sheng，MU Hao-ran，et al(李绍娟，甘 胜，沐浩然，等). New Carbon Materials(新型碳材料)，2014，29(5): 329.
[2] BI Wei-hong，WANG Yuan-yuan，FU Guang-wei，et al(毕卫红，王圆圆，付广伟，等). Acta Physica Sinica(物理学报)，2016，65(4): 047801.
[3] Chen K，Cheng X，Zhou X，et al. Nature Photonics，2019，13(11): 754.
[4] HU Cheng-long, GAO Bo, ZHOU Ying-wei(胡成龙，高 波，周英伟). Journal of Functional Materials(功能材料)，2018，(9): 9001.
[5] SHI Xiao-dong，WANG Wei，YIN Qiang，et al(石晓东，王 伟，尹 强，等). Material Review(材料导报)，2017，21(2): 136.
[6] YANG Jin-long(杨金龙). Acta Physica-Chimica Sinica(物理化学学报)，2019，25(10): 1043.
[7] ZHU Hong-xi，YE Tao，ZHANG Ke-fei(朱虹茜，叶 涛，张克非). Laser Technology(激光技术)，2019，43(4): 511.
[8] ZHANG Tian-tian，SHI Wei-hua(张甜甜，施伟华). Chinese Journal of Lasers(中国激光)，2020，47(3): 0301012.
[9] Nair R R，Blake P，Grigorenko A，et al. Science，2008，320(5881): 1308.
[10] Yang H, Feng X, Wang Q, et al. Nano Letters，2011 , 11(7): 2662.
[11] LIU Qing-bin，WEI Cui，HE Ze-zhao，et al(刘庆彬，蔚 翠，何泽召，等). CIESC Journal(化工学报)，2017，68(S1): 276.
[12] CHEN Xu-dong，CHEN Zhao-long, et al(陈旭东，陈召龙，等). Acta Phys.—Chim. Sin.(物理化学学报)，2016，22(1): 14.
[13] LI De-zeng，HAN Shuang-shuang(李德增，韩霜霜). Chinese Patent(中国专利)：CN201610125201.6.2016.
[14] CHEN Jian-hui，WU Xiao-song(陈建辉，吴孝松). Chinese Patent(中国专利)：CN201210120476.2.2012.
[15] WANG Xiao-yu，BI Wei-hong，FU Guang-wei，et al(王晓愚，毕卫红，付广伟，等). Journal of Yanshan University(燕山大学学报)，2020，44(3): 306. |
| [1] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
| [2] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
| [3] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
| [4] |
WANG Xin-qiang1, 3, CHU Pei-zhu1, 3, XIONG Wei2, 4, YE Song1, 3, GAN Yong-ying1, 3, ZHANG Wen-tao1, 3, LI Shu1, 3, WANG Fang-yuan1, 3*. Study on Monomer Simulation of Cellulose Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 164-168. |
| [5] |
WANG Lan-hua1, 2, CHEN Yi-lin1*, FU Xue-hai1, JIAN Kuo3, YANG Tian-yu1, 2, ZHANG Bo1, 4, HONG Yong1, WANG Wen-feng1. Comparative Study on Maceral Composition and Raman Spectroscopy of Jet From Fushun City, Liaoning Province and Jimsar County, Xinjiang Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 292-300. |
| [6] |
LI Wei1, TAN Feng2*, ZHANG Wei1, GAO Lu-si3, LI Jin-shan4. Application of Improved Random Frog Algorithm in Fast Identification of Soybean Varieties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3763-3769. |
| [7] |
WANG Zhi-qiang1, CHENG Yan-xin1, ZHANG Rui-ting1, MA Lin1, GAO Peng1, LIN Ke1, 2*. Rapid Detection and Analysis of Chinese Liquor Quality by Raman
Spectroscopy Combined With Fluorescence Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3770-3774. |
| [8] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1，ZHAO Yan-jie1*，NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
| [9] |
LU Wen-jing, FANG Ya-ping, LIN Tai-feng, WANG Hui-qin, ZHENG Da-wei, ZHANG Ping*. Rapid Identification of the Raman Phenotypes of Breast Cancer Cell
Derived Exosomes and the Relationship With Maternal Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3840-3846. |
| [10] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
| [11] |
GUO He-yuanxi1, LI Li-jun1*, FENG Jun1, 2*, LIN Xin1, LI Rui1. A SERS-Aptsensor for Detection of Chloramphenicol Based on DNA Hybridization Indicator and Silver Nanorod Array Chip[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3445-3451. |
| [12] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
| [13] |
LIU Jia-ru1, SHEN Gui-yun2, HE Jian-bin2, GUO Hong1*. Research on Materials and Technology of Pingyuan Princess Tomb of Liao Dynasty[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3469-3474. |
| [14] |
LI Wen-wen1, 2, LONG Chang-jiang1, 2, 4*, LI Shan-jun1, 2, 3, 4, CHEN Hong1, 2, 4. Detection of Mixed Pesticide Residues of Prochloraz and Imazalil in
Citrus Epidermis by Surface Enhanced Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3052-3058. |
| [15] |
ZHAO Ling-yi1, 2, YANG Xi3, WEI Yi4, YANG Rui-qin1, 2*, ZHAO Qian4, ZHANG Hong-wen4, CAI Wei-ping4. SERS Detection and Efficient Identification of Heroin and Its Metabolites Based on Au/SiO2 Composite Nanosphere Array[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3150-3157. |
|
|
|
|
